The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 25, 2019

Filed:

Oct. 16, 2015
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Jaya B. Kawale, San Jose, CA (US);

Branislav Kveton, San Jose, CA (US);

Hung H. Bui, Sunnyvale, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06F 17/16 (2006.01); G06Q 10/06 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06F 17/16 (2013.01); G06Q 10/067 (2013.01); G06Q 30/0282 (2013.01);
Abstract

Particle Thompson Sampling for online matrix factorization recommendation is described. In one or more implementations, a recommendation system provides a recommendation of an item to a user using Thompson Sampling. The recommendation system then receives a rating of the item from the user. Unlike conventional solutions which only update the user latent features, the recommendation system updates both user latent features and item latent features in a matrix factorization model based on the rating of the item. The updating is performed in real time which enables the recommendation system to quickly adapt to the user ratings to provide new recommendations. In one or more implementations, to update the user latent features and the item latent features in the matrix factorization model, the recommendation system utilizes a Rao-Blackwellized particle filter for online matrix factorization.


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